An Adaptive Multimodal Biometrics System using PSO
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 7
Abstract
Multimodal biometric systems which fuse information from a number of biometrics, are gaining more attentions lately because they are able to overcome limitations in unimodal biometric systems. These systems are suited for high security applications. Most of the proposed multibiometric systems offer one level of security. In this paper a new approach for adaptive combination of multiple biometrics has been proposed to ensure multiple levels of security. The score level fusion rule is adapted using (PSO) Particle Swarm Optimization to ensure the desired system performance corresponding to the desired level of security. The experimental results prove that the proposed multimodal biometric system is appropriate for applications that require different levels of security.
Authors and Affiliations
Ola Aly, Tarek Mahmoud, Gouda Salama, Hoda Onsi
Keywords
Related Articles
- EP ID EP151546
- DOI 10.14569/IJACSA.2013.040722
- Views 404
- Downloads 0
Antennas of Circular Waveguides
The design of the circular waveguide antenna is proposed for displacement reflector antennas. For them, we use the frequencies of operation so that our waveguide generates the mode, (Transversal Electric), resulting in a...
Real-Time Analysis of Students’ Activities on an E-Learning Platform based on Apache Spark
Real time analytics is the capacity to extract valuables insights from data that comes continuously from activities on the web or network sensors. It is largely used in web based business to drive decisions based on user...
Improvement on Classification Models of Multiple Classes through Effectual Processes
Classify cases in one of two classes referred to as a binary classification. However, some classification algorithms will allow, of course the use of more than two classes. This research work focuses on improving the res...
Feedback Optimal Control of Low-thrust Orbit Transfer in Central Gravity Field
Low-thrust trajectories with variable radial thrust is studied in this paper. The problem is tackled by solving the Hamilton- Jacobi-Bellman equation via State Dependent Riccati Equation( STDE) technique devised for nonl...
Weighted Unsupervised Learning for 3D Object Detection
This paper introduces a novel weighted unsuper-vised learning for object detection using an RGB-D camera. This technique is feasible for detecting the moving objects in the noisy environments that are captured by an RGB-...